Estimating Software Project Effort Using Analogies
IEEE Transactions on Software Engineering
An investigation of machine learning based prediction systems
Journal of Systems and Software - Special issue on empirical studies of software development and evolution
Using Public Domain Metrics To Estimate Software Development Effort
METRICS '01 Proceedings of the 7th International Symposium on Software Metrics
A Software Implementation of a Genetic Algorithm Based Approach to Network Intrusion Detection
SNPD-SAWN '05 Proceedings of the Sixth International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing and First ACIS International Workshop on Self-Assembling Wireless Networks
Optimal zoning design by genetic algorithms
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
A review of studies on expert estimation of software development effort
Journal of Systems and Software
Financial Forecasting of Invoicing and Cash Inflow Processes for Fair Exhibitions
HAIS '09 Proceedings of the 4th International Conference on Hybrid Artificial Intelligence Systems
Combinations of case-based reasoning with other intelligent methods
International Journal of Hybrid Intelligent Systems - CIMA-08
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Hi-index | 12.06 |
Predicting the upcoming broiler market price is important for the producers in developing their production plan. Effective price prediction model can aid producers to prevent over production or production shortage of broilers in advance. This research proposes an adapted CBR approach for predicting broiler price. The results indicate that the proposed adapted CBR approach demonstrates superior prediction performance than un-adapted CBR approach, CART, artificial neural nets and linear regression with at least 50% less of mean average error. This study finds that adjusting the price of the most similar case by considering the similarity distance to the case being predicted is a key to improve the prediction accuracy of the case-based broiler price estimation model.